Spatial Data Science: With Applications in R
Overview & Synopsis
This book introduces and explains the concepts underlying Spatial Data: points, lines, polygons, rasters, coverages, geometry attributes, data cubes, reference systems, as well as higher-level concepts including how attributes relate to geometries and how this affects analysis.
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Document Information
| Document Title | Spatial Data Science: With Applications in R |
|---|---|
| Author / Organization | Edzer Pebesma, Roger Bivand |
| Subject & Discipline | Geographic Information Science and Systems (GIS), Spatial Analysis, etc., Data Science, The R Programming Language, Data Analysis and Data Mining, Statistics, and SAS Programming |
| Categories | Geographic Information Science and Systems (GIS), Spatial Analysis, etc. |
| Publication Year | 2023 |
| ISBN | 1138311189 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-55806 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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